Improving Communication During a Pandemic Flu Outbreak
NCT03431012 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 349
Last updated 2019-12-16
Summary
During the last pandemic influenza antivirals were prescribed both as prophylaxis and treatment. However, adherence rates were suboptimal. This study assessed the effect of theory-based and evidence-based health messages, which promoted the use of antivirals as prophylaxis for pandemic influenza, on intentions to use antivirals. Using hypothetical scenarios, the investigators tested whether written health communications about pandemic flu and recommended preventative medication (i.e. a prophylactic treatment with antivirals) had an effect on study participants' beliefs about the pandemic flu and the advice received, and their intention to adhere to the recommendation. In particular, the investigators assessed the behavioural impact of health messages presented in four different linguistic formats, defined by a 2×2 (agency assignment × attribute framing) factorial design. The originality of this study relies on the attempt to maximise the behavioural impact of written health messages by combining the agency assignment and attribute framings, which have never been tested together, and by systematically targeting specific predictors of adherence intentions through these messages. The findings of this study may be used to improve the behavioural impact of health communications to the general public in case of a pandemic flu outbreak in the UK.
Conditions
- Healthy
Interventions
- OTHER
-
Agency Assignment framing
Linguistic framing used in written health messages. Each version of the messages described the pandemic flu and the efficacy of the antivirals using linguistic expressions that assigned transmission to either humans (HA: 'You can contract the virus when you touch…') or the pandemic flu virus itself (VA: 'It can infect you when you touch…')
- OTHER
-
Attribute framing
Linguistic framing used in written health messages. Each message described the side effects of the antivirals in terms of chances of either experiencing (negative framing: 'Uncommon side effects (10% of people will be affected)') or not experiencing side effects (positive framing: 'Uncommon side effects (90% of people will not be affected)') after using them.
Sponsors & Collaborators
-
National Institute for Health Research, United Kingdom
collaborator OTHER_GOV -
Public Health England
collaborator OTHER_GOV - lead OTHER
Principal Investigators
-
Donatella D'Antoni · King's College London
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- SINGLE
- Model
- FACTORIAL
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-05-26
- Primary Completion
- 2016-06-08
- Completion
- 2016-06-08
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